---
title: 'Sr/Staff Graphics Engineer at Figure'
canonical: 'https://feeny.ai/job/sr-staff-graphics-engineer-figure-san-jose-cgrfm3jw7bne'
type: 'job'
last_seen: '2026-09-12'
---

# Sr/Staff Graphics Engineer at Figure

- **Company:** Figure
- **Location:** San Jose, CA
- **Posted:** 2026-06-26
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/figureai/jobs/4692556006

## Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Senior/Staff Graphics Software Engineer to join the Platform Software team and own the graphics stack powering our robot’s displays. You will build the rendering engine and UI framework that brings Figure’s humanoid to life — crafting fluid, expressive interfaces that make every human-robot interaction feel natural and engaging. You will work closely with the Head of HMI to translate creative vision into pixel-perfect, high-performance reality on embedded hardware.

Responsibilities:

- Design, implement, and optimize the graphics rendering stack for robot head displays, from low-level GPU pipeline to high-level UI components.
- Build and maintain Qt/QML-based applications targeting embedded Linux systems with strict CPU, GPU, and memory constraints.
- Develop and tune shaders for real-time vector graphics, animations, and visual effects.
- Implement and optimize Vulkan and OpenGL ES rendering pipelines to achieve smooth, high-framerate output.
- Collaborate closely with the Design team and Head of HMI to implement and iterate on UI/UX designs, ensuring fidelity and responsiveness.
- Profile and optimize rendering performance on resource-constrained embedded hardware, targeting consistent frame rates with minimal power draw.
- Integrate graphics components into the broader Robot Platform software stack, working with middleware and embedded systems engineers.
- Establish best practices for graphics development, testing, and CI integration within the platform team

Requirements:

- Bachelor’s or Master’s degree in Computer Science, Computer Graphics, or a related field.
- At least 7 years of industry experience in graphics or UI engineering.
- Expert-level proficiency in Qt and QML, including custom rendering and performance optimization.
- Deep hands-on experience with Vulkan and OpenGL ES — including shader authoring (GLSL/SPIR-V) and render pipeline design.
- Strong experience with vector graphics rendering and animation..
- Proven track record developing on embedded or resource-constrained systems (limited RAM, GPU, thermal envelope).
- Solid C++ skills and familiarity with Linux userspace development.
- Strong cross-functional communication skills — comfortable working directly with designers and translating visual specs into technical implementations.

Bonus Qualifications:

- Hands-on experience with game engines such as Unreal Engine or Unity.
- Experience with scene graph architectures or retained-mode rendering frameworks.
- Experience with SVG or other vector graphics formats and their GPU-accelerated rendering.
- Knowledge of display hardware interfaces (MIPI DSI, HDMI) and display driver integration on embedded Linux.
- Experience with EGLFS/DRM/KMS display backends.
- Background in HMI or human-robot interaction design.

The US base salary range for this full-time position is between $150,000 - $275,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

## About Figure

## Company Overview
- **One-liner**: Figure is an AI robotics company building the world's first commercially viable autonomous general-purpose humanoid robot.
- **Entity Type**: Private (Series C, $1.9B total funding)
- **Headquarters**: San Jose, California, USA
- **Founded**: 2022
- **Founders**: Brett Adcock

## Core Business
- **Primary industry**: AI Robotics / Humanoid Robotics / Machinery Manufacturing
- **Target customers**: Enterprise (manufacturing, logistics, warehousing, retail) and, in future iterations, consumer/home markets.
- **Mission or purpose statement**: To bring a commercially viable general-purpose humanoid to market, making humans capable of more and addressing labor shortages.

## Products & Services
- **Figure 03**: The latest generation humanoid robot, designed for the home and the world at scale. Features a softer look and feel, advanced hand dexterity, and an integrated battery in the torso. It is powered by the company's AI model, Helix.
- **Helix / Helix 02**: Figure's in-house AI model for humanoid control. Helix 02 is described as their most powerful model to date, enabling the robot to perform complex tasks autonomously (e.g., using the whole body to do dishes end-to-end).
- **F.02 Fleet**: The previous generation robot used in a real-world deployment with BMW, where it contributed to the production of 30,000 cars over 11 months, running 10 hours per day.
- **BotQ**: Figure's manufacturing division, responsible for building the robots at scale.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company). Total funding is $1.9B.
- **Key Metric**: Total Funding of $1,854,000,000.
- **Notable Investors/Partners**: Parkway Venture Capital (led Series A and Series C), Intel Capital (led Venture Round), Brett Adcock (led Seed Round). Key partner: BMW (11-month deployment).
- **Growth Signals**: Headcount grew 128.8% YoY to 442 employees. Active job postings increased 223.5% YoY. The company is actively scaling its manufacturing arm (BotQ) and commercial operations. It operates in 12 countries.

## Competitive Advantages
- **First-Mover in Commercial Humanoids**: Figure has a significant head start with a real-world, 11-month deployment at a major automaker (BMW), proving the technology's viability.
- **Vertically Integrated AI & Hardware**: Unlike many competitors, Figure builds both the robot hardware and the AI software (Helix) in-house, creating a tightly integrated system.
- **Massive Data Advantage**: Through its "Project Go-Big" and partnership with BMW, Figure is building the world's largest humanoid pretraining dataset, a critical moat in AI.
- **Aggressive Talent Acquisition**: Has hired top talent from Tesla (60), Apple (34), Boston Dynamics (12), SpaceX (9), and others, concentrating deep expertise.

## Strategic Focus
- **Commercial Deployment**: Scaling from pilot programs (BMW) to widespread commercial deployment across logistics, warehousing, and manufacturing.
- **Home Market Entry**: The design of Figure 03 signals a clear strategic pivot toward the consumer/home market as the next major growth vector.
- **AI Leadership**: Continued investment in the Helix AI model to achieve full autonomy and general-purpose capability.
- **Manufacturing Scale**: Building out BotQ to mass-produce humanoid robots.

## Why Work Here
- **Mission-Driven & High Impact**: The company is laser-focused on a singular, ambitious mission: "to build the most groundbreaking company on the planet." Work is described as being "in the trenches together."
- **Culture of Speed & Fearlessness**: Core values include "Move Fast & Be Technically Fearless" and "Aggressively Optimistic." The environment is described as high-performance, with a "championship mindset."
- **On-Site, Collaborative Environment**: Employees work from physical offices in San Jose, CA (HQ) and a secondary location in Sunnyvale. The culture emphasizes in-person collaboration.
- **Generous Benefits**: Offers health insurance, generous parental leave, and family/childcare benefits.
- **Massive Growth Trajectory**: With 110 open roles, explosive headcount growth, and a clear path to market, employees have significant opportunity for career growth and impact.
- **Technical Challenges**: Work spans cutting-edge AI (reinforcement learning, perception, pretraining), hardware engineering (actuators, electrical, mechanical), and manufacturing at scale.

## Sources
1. [figure.ai](https://www.figure.ai/company)
2. [LinkedIn](https://www.linkedin.com/company/figure-ai)
3. [Greenhouse Jobs](http://job-boards.greenhouse.io/figureai)
4. [Built In](https://builtin.com/company/figureai)

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